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232 results for “smell”
Effect of Periodontal Treatment on Tongue Coating and Smell Function
ClinicalTrials.gov study NCT07326319. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Parasites and a host's sense of smell: reduced chemosensory performance of fathead minnows (Pimephales promelas) infected with a monogenean parasite
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Data from: Female zebra finches smell their eggs
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Data from: Tolerance requires the right smell: first evidence for interspecific selection on chemical recognition cues
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Data from: The smell of parents: breeding status influences cuticular hydrocarbon pattern in the burying beetle Nicrophorus vespilloides
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Data from: Wake up and smell the conflict: odour signals in female competition
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The smell of cooperation: rats increase helpful behaviour when receiving odour cues of a conspecific performing a cooperative task
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Olfactory sensory neuron-specific IGF1R knockout in mice results in increased smell perception, insulin resistance and adiposity
GEO Series GSE85329. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Persistent post-COVID-19 smell loss is associated with inflammatory infiltration and altered olfactory epithelial gene expression
GEO Series GSE201620. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Smell object in Dutch - smell in English dictionary
<p>These four csv's each contain the Dutch names of things that smell as Key (Fruits, Flowers, Nuts and Vegetables) and what they smell like as Value.</p>
Empirical Study of the Relationship between Design Patterns and Code Smells
<p>Software systems are often developed in such a way that good practices in the object-oriented paradigm are not met, causing the occurrence of specific disharmonies, which are sometimes called code smells. Design patterns catalogue best practices for developing object-oriented software systems. Although code smells and design patterns are widely divergent, there might be a co-occurrence relation between them. The objective of this paper is to empirically evaluate if the presence of design patterns is related to the presence of code smells at different granularity levels. We performed an empirical replication study using 20 design patterns, and 13 code smells in ten small-size to medium-size, open-source Java-based systems. We applied statistical analysis and association rules. Results confirm that classes participating in design patterns have less smell-proneness and smell frequency than classes not participating in design patterns. We also noticed that every design pattern category act in the same way in terms of smell-proneness in the subject systems. However, we observed, based on the association rules learning and the proposed validation technique, that some patterns may be associated with certain smells in some cases. For instance, Command patterns can co-occur with God Class, Blob and External Duplication smell.</p> <p><strong>The published data set contains the following:</strong></p> <ol> <li>List of the selected systems (source code files)</li> <li>The P-MARt: the design pattern repository as XML for the selected systems. </li> <li>Data of design patterns and code smells: We processed this data by parsing the design pattern XML file and running the smell detection tool (inFusion).</li> <li>The data of the data mining analysis.</li> </ol>
Supplementary Material for A Systematic Mapping Study on Architectural Smells Detection
<p>This is the supplementary material for a systematic mapping study on architectural smells detection.The material is in the form of a spreadsheet. First sheet is for detection techniques and second for detection tools.</p>
On The Relation of Test Smells to Software Code Quality. Appendix.
<p>Dataset of "On The Relation of Test Smells to Software Code Quality"</p> <p>This is the replication package of the paper "On The Relation of Test Smells to Software Code Quality", accepted at the 34th IEEE International Conference on Software Maintenance and Evolution (ICSME 18).</p>
InSet: A Tool to Identify Architecture Smells Using Machine Learning
<p>Architectural smells (ASs) are architectural decisions that negatively affect the maintenance and evolution of software. Most of the existing tools able to identify AS rely on few metrics with fixed thresholds. However, it is not possible to define specific metrics and thresholds that meet all the cases, i.e., the classification of a piece of code in smell or not can depend on the domain, the experience of developers, organization patterns or even from a vast set of features - so there is a subjective ingredient in this decision.<br> Machine Learning (ML) can help to make these decisions/classifications more precise by taking into consideration a vast set of features and also feedback from experts.<br> This paper presents a machine learning-based tool to detect the architectural smells Unstable Dependency(UD) and God Component(GC). Our tool is able to take into consideration users' feedback to retrain the algorithms and constantly improve their performance. Our tool got good result in terms of accuracy, precision, recall, F-measure and Kappa's coefficient.</p>
Democracia em Xeque: Um Estudo Comparativo sobre Detecção de Code Smells [DATASET]
<p>Dataset usado na pesquisa</p>
Flower Smelling Champion Thropy
Design from Owlturd comix. I do not have any affiliation with him, just a fan who happend to procastinate on tumbler, found your comix "A and B smell flowers" and suddenly boom. This happened :P. Hope people would 3d print it for you http://owlturd.com/. I have no Idea how to attach your comic here... Can someone who have actuall 3d printer give me tips for the flower part? I dont know how strong actually is ABS or PLA to support such dimension Source: Objaverse 1.0 / Sketchfab
Influence of Breast Milk Smell on Newborns Bilirubin Level, Duration of Time Phototherapy and Comfort in Newborns Receiving Phototherapyv
ClinicalTrials.gov study NCT05167474. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Smell Memory Method for Patients Before Surgery
ClinicalTrials.gov study NCT06414980. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficacy of Olfactive Training on Loss of Smell and Taste Caused by SARS CoV2 COVID-19 (Covid-Smell)
ClinicalTrials.gov study NCT07190911. IPD Sharing: NO. Countries: 1. Publications: 0.
Individual Variations of Taste and Smell Perception in Alcohol Use Disorder (AUD)
ClinicalTrials.gov study NCT05677321. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.